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Supervised machine learning and active learning in classification of radiology reports

OBJECTIVE: This paper presents an automated system for classifying the results of imaging examinations (CT, MRI, positron emission tomography) into reportable and non-reportable cancer cases. This system is part of an industrial-strength processing pipeline built to extract content from radiology re...

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Detalhes bibliográficos
Main Authors: Nguyen, Dung H M, Patrick, Jon D
Formato: Artigo
Idioma:Inglês
Publicado em: BMJ Publishing Group 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4147614/
https://ncbi.nlm.nih.gov/pubmed/24853067
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-002516
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